Guowen Chen

20 papers receiving 316 citations

Peers

Guowen Chen
Comparison fields: 5 of 50
  • Human-Computer Interaction 111
  • Media Technology 134
  • Computer Vision and Pattern Recognition 112
  • Computer Graphics and Computer-Aided Design 11
  • Automotive Engineering 21
Replace Hiromi Kato with:
Hiromi Kato Japan
Yongjun Xie China
Xinda Hu United States
Qian Huang China
Jui-Wen Pan Taiwan
Vignesh Suresh United States
Tsung-Hsun Tsai Taiwan
Chia-En Wu Taiwan
Jay Patel United States
Hiroyuki Kuriyama Japan
Guowen Chen relative to Hiromi Kato Japan Hiromi Kato's profile →
Citations per field
00.5×
Hiromi Kato · 1×
Citations per year

Countries citing papers authored by Guowen Chen

Since Specialization
Citations

This map shows the geographic impact of Guowen Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guowen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guowen Chen more than expected).

Fields of papers citing papers by Guowen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guowen Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guowen Chen. The network helps show where Guowen Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Guowen Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guowen Chen Line = papers co-authored together Guowen Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201648
2 202246
3 201538
4 201735
5 201725
6 201820
7 201619
8 201717
9 202214
10 201913
11 201713
12 202312
13 20169
14 20158
15 20218
16 20197
17 20184
18 20152
19 20211
20 20151

About Guowen Chen

Guowen Chen is a scholar working on Media Technology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (12 papers), Virtual Reality Applications and Impacts (8 papers), Advanced Vision and Imaging (6 papers), Advancements in Battery Materials (4 papers), Augmented Reality Applications (4 papers), Visual perception and processing mechanisms (4 papers), Advanced Battery Materials and Technologies (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Media Technology (134 citations), Computer Vision and Pattern Recognition (112 citations), Computer Graphics and Computer-Aided Design (11 citations) and Automotive Engineering (21 citations). Guowen Chen has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hongen Liao, Zhencheng Fan, Xinran Zhang, Junchen Wang, Rongkai Kang, Yiqun Du, Huixin Jin, Wenyang Zhang, Wei Zhou and Jianxin Zhang. Their work appears in journals such as Chemical Engineering Journal, Journal of Biomedical Informatics, Journal of the Optical Society of America A, IEEE Transactions on Biomedical Engineering and Journal of Display Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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